Build an Influencer Authenticity Scorer with Node.js

A brand just sent you a list of 200 influencers. Budget: $50K. Your job: figure out which ones are real. You open the first profile. 800K followers. Great engagement rate. Looks legit. Then you notice: 40% of their comments are "Nice post! 🔥" from accounts with zero posts and default profile pics. Their follower growth spiked by 200K overnight. Their audience is 60% from countries where they don't speak the language. That "perfect" influencer is a fraud. And they want $3,000 per post. I built a tool that scores influencer authenticity in seconds. Here's exactly how. The Stack Node.js – runtime SociaVault API – social media data (profiles, posts, comments, followers) Math – statistical analysis (no AI needed) What Makes a Fake Influencer? After analyzing thousands of profiles, I identified 6 authenticity signals: Signal Weight What It Measures Follower Authenticity 30% Are followers real accounts? Engagement Quality 25% Do engagement rates match follower count? Comment Quality 20% Are c